Accuracy of IVUS-Based Machine Learning Segmentation Assessment of Coronary Artery Dimensions and Balloon Sizing

Matsumura, M., Mintz, G. S., Dohi, T., Li, W., Shang, A., Fall, K., Sato, T., Sugizaki, Y., Chatzizisis, Y. S., Moses, J. W., Kirtane, A. J., Sakamoto, H., Daida, H., Minamino, T., & Maehara, A. (2023). Accuracy of IVUS-Based Machine Learning Segmentation Assessment of Coronary Artery Dimensions and Balloon Sizing. JACC: Advances, 2(7), 100564. https://doi.org/10.1016/j.jacadv.2023.100564
Authors:
Mitsuaki Matsumura
Gary S Mintz
Tomotaka Dohi
Wenguang Li
Alexander Shang
Khady Fall
Takao Sato
Yoichiro Sugizaki
Yiannis S Chatzizisis
Jeffery W Moses
Ajay J Kirtane
Hajime Sakamoto
Hiroyuki Daida
Tohru Minamino
Akiko Maehara
Affiliated Authors:
Khady Fall
Takao Sato
Yoichiro Sugizaki
Jeffery W Moses
Ajay J Kirtane
Akiko Maehara
Author Keywords:
balloon sizing
convolution neural network
coronary artery
high-definition intravascular ultrasound
machine learning
Publication Type:
Article
Unique ID:
10.1016/j.jacadv.2023.100564
PMID:
Journal:
Publication Date:
Data Source:
PubMed

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